Species occupany detection modeling
Initial data decontamination using species occupancy detection modeling on a per-sample, per-locus basis. This is based on Ryan Kelly’s work/GitHub tutorial.
The input is a table of counts per sample/locus that only includes the ASVs with taxonomic hits in the BLAST database (since we wouldn’t be drawing inference from the sequences without taxonomic info).
The input dataframe is ../data/feature_df_no_eDNA_metazoa_only.rds and is generated in 01-updated-background-Oct-2020.Rmd.
Mostly, we are interested in the vouchered reference DNA pool, since the full reference DNA pool and experimental feed mixtures almost certainly included contamination from samples obtained from seafood markets.
Most of the action is now wrapped up in a function called sodm.by.locus which outputs files to “csv_outputs/” in the current working directory.
# function source
source("../R/metabarcoding-funcs.R")
library(tidyverse)
library(stringi)
library(here)here() starts at /Users/dianabaetscher/Documents/git-repos/metabarcoding-primer-portfoliolibrary(rstan)Loading required package: StanHeaders
rstan (Version 2.19.3, GitRev: 2e1f913d3ca3)
For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores()).
To avoid recompilation of unchanged Stan programs, we recommend calling
rstan_options(auto_write = TRUE)
Attaching package: ‘rstan’
The following object is masked from ‘package:tidyr’:
extractlibrary(shinystan)Loading required package: shiny
Registered S3 method overwritten by 'htmlwidgets':
method from
print.htmlwidget tools:rstudio
This is shinystan version 2.5.0library(bayesplot)This is bayesplot version 1.7.1
- Online documentation and vignettes at mc-stan.org/bayesplot
- bayesplot theme set to bayesplot::theme_default()
* Does _not_ affect other ggplot2 plots
* See ?bayesplot_theme_set for details on theme settinglibrary(broom)
options(mc.cores = parallel::detectCores())
rstan_options(auto_write = TRUE)
set.seed(108)
setwd(here())The working directory was changed to /Users/dianabaetscher/Documents/git-repos/metabarcoding-primer-portfolio inside a notebook chunk. The working directory will be reset when the chunk is finished running. Use the knitr root.dir option in the setup chunk to change the working directory for notebook chunks.knitr::opts_chunk$set(echo = TRUE)
The model
Two Stan model functions for two steps in this process:
From Ryan Kelly’s github page:
Estimating Posteriors in Stan
Stan actually does its work in C++, so it has to write out a program to a file (outside of R) and compile it to run at a deeper level of your computer’s architecture. This takes a little while the first time you compile a given set of Stan code, but only needs to be redone if you change the Stan code.
##Stan Model
modelText <- "data{/////////////////////////////////////////////////////////////////////
int<lower=1> S; // number of sites or samples (nrow)
int<lower=1> K[S]; // number of replicates per site (ncol)
int<lower=0> N[S]; // detected or not at that site/replicate
int z[S];
}
parameters{/////////////////////////////////////////////////////////////////////
real<lower=0,upper=1> psi; //commonness parameter
real<lower=0,upper=1> p11; //true positive detection rate
real<lower=0,upper=1> p10; //false positive detection rate
}
transformed parameters{/////////////////////////////////////////////////////////////////////
}
model{/////////////////////////////////////////////////////////////////////
real p[S];
for (i in 1:S){
z[i] ~ bernoulli(psi);
p[i] = z[i]*p11 + (1-z[i])*p10;
N[i] ~ binomial(K[i], p[i]);
};
//priors
psi ~ beta(5,5);
p11 ~ beta(5,5);
p10 ~ beta(1,50);
}
generated quantities{
real<lower=0,upper=1> Occupancy_prob[S]; //after inferring parameters above, now calculate occupancy probability for each observation. Equation from Lahoz-Monfort et al. 2015
for (i in 1:S){
Occupancy_prob[i] = (psi*(p11^N[i])*(1-p11)^(K[i]-N[i]))
/ ((psi*(p11^N[i])*(1-p11)^(K[i]-N[i]))
+ (((1-psi)*(p10^N[i]))*((1-p10)^(K[i]-N[i])))
);
}
}
"
write.table(modelText, "Stan_SOM_demo.stan", row.names = F, quote = F, col.names = F)And we can then explore the posterior occupancy probability for all possible outcomes of 10 trials, given these parameters:
modelText <- "data{/////////////////////////////////////////////////////////////////////
int<lower=1> S; // number of sites or samples (nrow)
int<lower=1> K[S]; // number of replicates per site (ncol)
int<lower=0> N[S]; // detected or not at that site/replicate
int z[S];
}
parameters{/////////////////////////////////////////////////////////////////////
real<lower=0,upper=1> psi; //commonness parameter
real<lower=0,upper=1> p11; //true positive detection rate
real<lower=0,upper=1> p10; //false positive detection rate
}
transformed parameters{/////////////////////////////////////////////////////////////////////
}
model{/////////////////////////////////////////////////////////////////////
real p[S];
for (i in 1:S){
z[i] ~ bernoulli(psi);
p[i] = z[i]*p11 + (1-z[i])*p10;
N[i] ~ binomial(K[i], p[i]);
};
//priors
psi ~ beta(5,5);
p11 ~ beta(5,5);
p10 ~ beta(1,50);
}
generated quantities{
real<lower=0,upper=1> Occupancy_prob[11]; //after inferring parameters above, now calculate occupancy probability for each observation. Equation from Lahoz-Monfort et al. 2015
for (i in 0:10){
Occupancy_prob[i+1] = (psi*(p11^i)*(1-p11)^(10-i))
/ ((psi*(p11^i)*(1-p11)^(10-i))
+ (((1-psi)*(p10^i))*((1-p10)^(10-i)))
);
}
}
"
write.table(modelText, "Stan_SOM_allPossibilities.stan", row.names = F, quote = F, col.names = F)
The data
The dataframe that just includes ASVs associated with taxonomy retained
features_w_taxonomy <- readRDS("../extdata/downsampled_loci/data/feature_df_no_eDNA_metazoa_only.rds")
Cycle over a list of the loci for a given site.
loc_list
[1] "16SH1" "16Svar" "18SSSU3" "18Sn4" "L2513H2714" "aquaF2"
[7] "aquaF3" "cep" "ceph16S" "crust16S" "fishcoilbc" "fishminiA"
[13] "mifish" "minibar" "nsCOIFo" "plankCOI" "shark474" "sharkCOImini"
[19] "short28S" "crust2" "16Sfish" "teleo" Cycle over the loci and generate csv outputs that I can then filter based on occupancy probabilties.
# lapply over the list of 22 loci
# the site, dataframe, and number of replicates are consistent for now
lapply(loc_list, sodm.by.locus, feature_table = features_w_taxonomy, site = "VRP", n_replicates = 9)starting worker pid=27739 on localhost:11046 at 09:42:16.114
starting worker pid=27753 on localhost:11046 at 09:42:16.320
starting worker pid=27767 on localhost:11046 at 09:42:16.529
starting worker pid=27781 on localhost:11046 at 09:42:16.721
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.129123 seconds (Warm-up)
Chain 1: 0.113915 seconds (Sampling)
Chain 1: 0.243038 seconds (Total)
Chain 1:
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.12399 seconds (Warm-up)
Chain 2: 0.119928 seconds (Sampling)
Chain 2: 0.243918 seconds (Total)
Chain 2:
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.110914 seconds (Warm-up)
Chain 3: 0.111165 seconds (Sampling)
Chain 3: 0.222079 seconds (Total)
Chain 3:
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.109937 seconds (Warm-up)
Chain 4: 0.112708 seconds (Sampling)
Chain 4: 0.222645 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
`expand_scale()` is deprecated; use `expansion()` instead.starting worker pid=27799 on localhost:11046 at 09:42:21.445
starting worker pid=27814 on localhost:11046 at 09:42:21.640
starting worker pid=27834 on localhost:11046 at 09:42:21.829
starting worker pid=27848 on localhost:11046 at 09:42:22.013
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.60562 seconds (Warm-up)
Chain 1: 1.86991 seconds (Sampling)
Chain 1: 3.47553 seconds (Total)
Chain 1:
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.63519 seconds (Warm-up)
Chain 2: 2.08961 seconds (Sampling)
Chain 2: 3.72481 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.6108 seconds (Warm-up)
Chain 3: 2.09075 seconds (Sampling)
Chain 3: 3.70155 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.60168 seconds (Warm-up)
Chain 4: 2.0085 seconds (Sampling)
Chain 4: 3.61017 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=27866 on localhost:11046 at 09:42:34.142
starting worker pid=27880 on localhost:11046 at 09:42:34.334
starting worker pid=27894 on localhost:11046 at 09:42:34.524
starting worker pid=27908 on localhost:11046 at 09:42:34.716
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.20406 seconds (Warm-up)
Chain 1: 0.24657 seconds (Sampling)
Chain 1: 0.45063 seconds (Total)
Chain 1:
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.9e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.234735 seconds (Warm-up)
Chain 2: 0.244651 seconds (Sampling)
Chain 2: 0.479386 seconds (Total)
Chain 2:
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.239688 seconds (Warm-up)
Chain 3: 0.224699 seconds (Sampling)
Chain 3: 0.464387 seconds (Total)
Chain 3:
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.2138 seconds (Warm-up)
Chain 4: 0.222883 seconds (Sampling)
Chain 4: 0.436683 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=27940 on localhost:11046 at 09:42:40.140
starting worker pid=27954 on localhost:11046 at 09:42:40.331
starting worker pid=27968 on localhost:11046 at 09:42:40.521
starting worker pid=27982 on localhost:11046 at 09:42:40.710
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.1e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.1e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.1e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 2.84734 seconds (Warm-up)
Chain 1: 3.42506 seconds (Sampling)
Chain 1: 6.2724 seconds (Total)
Chain 1:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 2.85667 seconds (Warm-up)
Chain 4: 3.2088 seconds (Sampling)
Chain 4: 6.06548 seconds (Total)
Chain 4:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 2.88013 seconds (Warm-up)
Chain 2: 3.79189 seconds (Sampling)
Chain 2: 6.67202 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 2.81182 seconds (Warm-up)
Chain 3: 3.68132 seconds (Sampling)
Chain 3: 6.49314 seconds (Total)
Chain 3: Warning message:
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28000 on localhost:11046 at 09:42:55.860
starting worker pid=28014 on localhost:11046 at 09:42:56.054
starting worker pid=28028 on localhost:11046 at 09:42:56.242
starting worker pid=28042 on localhost:11046 at 09:42:56.435
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3:
Chain 3: Gradient evaluation took 2.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.1e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.272021 seconds (Warm-up)
Chain 1: 0.270132 seconds (Sampling)
Chain 1: 0.542153 seconds (Total)
Chain 1:
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.252347 seconds (Warm-up)
Chain 2: 0.271584 seconds (Sampling)
Chain 2: 0.523931 seconds (Total)
Chain 2:
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.253781 seconds (Warm-up)
Chain 3: 0.271927 seconds (Sampling)
Chain 3: 0.525708 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.243777 seconds (Warm-up)
Chain 4: 0.254717 seconds (Sampling)
Chain 4: 0.498494 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28068 on localhost:11046 at 09:43:01.621
starting worker pid=28088 on localhost:11046 at 09:43:01.811
starting worker pid=28102 on localhost:11046 at 09:43:01.998
starting worker pid=28116 on localhost:11046 at 09:43:02.184
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.1e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 3.00941 seconds (Warm-up)
Chain 3: 3.54405 seconds (Sampling)
Chain 3: 6.55346 seconds (Total)
Chain 3:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 3.01953 seconds (Warm-up)
Chain 2: 3.71866 seconds (Sampling)
Chain 2: 6.73819 seconds (Total)
Chain 2:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 2.95159 seconds (Warm-up)
Chain 4: 3.62388 seconds (Sampling)
Chain 4: 6.57547 seconds (Total)
Chain 4:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 2.98119 seconds (Warm-up)
Chain 1: 3.94097 seconds (Sampling)
Chain 1: 6.92216 seconds (Total)
Chain 1: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28134 on localhost:11046 at 09:43:17.151
starting worker pid=28148 on localhost:11046 at 09:43:17.346
starting worker pid=28162 on localhost:11046 at 09:43:17.537
starting worker pid=28176 on localhost:11046 at 09:43:17.733
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.9e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.290036 seconds (Warm-up)
Chain 1: 0.306932 seconds (Sampling)
Chain 1: 0.596968 seconds (Total)
Chain 1:
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.315485 seconds (Warm-up)
Chain 2: 0.328099 seconds (Sampling)
Chain 2: 0.643584 seconds (Total)
Chain 2:
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.290393 seconds (Warm-up)
Chain 3: 0.321821 seconds (Sampling)
Chain 3: 0.612214 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.324077 seconds (Warm-up)
Chain 4: 0.312382 seconds (Sampling)
Chain 4: 0.636459 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28201 on localhost:11046 at 09:43:23.441
starting worker pid=28215 on localhost:11046 at 09:43:23.630
starting worker pid=28229 on localhost:11046 at 09:43:23.834
starting worker pid=28250 on localhost:11046 at 09:43:24.016
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.4e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 3.60165 seconds (Warm-up)
Chain 1: 4.25021 seconds (Sampling)
Chain 1: 7.85186 seconds (Total)
Chain 1:
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 3.69487 seconds (Warm-up)
Chain 2: 4.49713 seconds (Sampling)
Chain 2: 8.192 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 3.57831 seconds (Warm-up)
Chain 3: 4.68081 seconds (Sampling)
Chain 3: 8.25912 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 3.54189 seconds (Warm-up)
Chain 4: 4.57676 seconds (Sampling)
Chain 4: 8.11865 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28270 on localhost:11046 at 09:43:41.189
starting worker pid=28284 on localhost:11046 at 09:43:41.389
starting worker pid=28298 on localhost:11046 at 09:43:41.580
starting worker pid=28313 on localhost:11046 at 09:43:41.770
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.104126 seconds (Warm-up)
Chain 1: 0.101467 seconds (Sampling)
Chain 1: 0.205593 seconds (Total)
Chain 1:
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.097008 seconds (Warm-up)
Chain 2: 0.104305 seconds (Sampling)
Chain 2: 0.201313 seconds (Total)
Chain 2:
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.4e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.099993 seconds (Warm-up)
Chain 3: 0.095717 seconds (Sampling)
Chain 3: 0.19571 seconds (Total)
Chain 3:
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.084348 seconds (Warm-up)
Chain 4: 0.093686 seconds (Sampling)
Chain 4: 0.178034 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28337 on localhost:11046 at 09:43:45.312
starting worker pid=28351 on localhost:11046 at 09:43:45.506
starting worker pid=28365 on localhost:11046 at 09:43:45.710
starting worker pid=28386 on localhost:11046 at 09:43:45.978
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.38907 seconds (Warm-up)
Chain 2: 1.69617 seconds (Sampling)
Chain 2: 3.08524 seconds (Total)
Chain 2:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.38267 seconds (Warm-up)
Chain 1: 1.78756 seconds (Sampling)
Chain 1: 3.17023 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.40452 seconds (Warm-up)
Chain 3: 1.65311 seconds (Sampling)
Chain 3: 3.05763 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.38081 seconds (Warm-up)
Chain 4: 1.77169 seconds (Sampling)
Chain 4: 3.1525 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28404 on localhost:11046 at 09:43:57.377
starting worker pid=28418 on localhost:11046 at 09:43:57.569
starting worker pid=28432 on localhost:11046 at 09:43:57.756
starting worker pid=28446 on localhost:11046 at 09:43:57.946
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.1e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.407458 seconds (Warm-up)
Chain 1: 0.418924 seconds (Sampling)
Chain 1: 0.826382 seconds (Total)
Chain 1:
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.367425 seconds (Warm-up)
Chain 2: 0.406529 seconds (Sampling)
Chain 2: 0.773954 seconds (Total)
Chain 2:
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.413791 seconds (Warm-up)
Chain 3: 0.364484 seconds (Sampling)
Chain 3: 0.778275 seconds (Total)
Chain 3:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.376937 seconds (Warm-up)
Chain 4: 0.373252 seconds (Sampling)
Chain 4: 0.750189 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28471 on localhost:11046 at 09:44:04.476
starting worker pid=28485 on localhost:11046 at 09:44:04.677
starting worker pid=28506 on localhost:11046 at 09:44:04.910
starting worker pid=28520 on localhost:11046 at 09:44:05.093
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.1e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.48044 seconds (Warm-up)
Chain 2: 5.32851 seconds (Sampling)
Chain 2: 9.80895 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 4.53612 seconds (Warm-up)
Chain 3: 5.48643 seconds (Sampling)
Chain 3: 10.0225 seconds (Total)
Chain 3:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.59353 seconds (Warm-up)
Chain 1: 5.63459 seconds (Sampling)
Chain 1: 10.2281 seconds (Total)
Chain 1:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 4.45534 seconds (Warm-up)
Chain 4: 5.73137 seconds (Sampling)
Chain 4: 10.1867 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28538 on localhost:11046 at 09:44:23.304
starting worker pid=28552 on localhost:11046 at 09:44:23.496
starting worker pid=28566 on localhost:11046 at 09:44:23.684
starting worker pid=28580 on localhost:11046 at 09:44:23.876
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 5.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.373931 seconds (Warm-up)
Chain 1: 0.412263 seconds (Sampling)
Chain 1: 0.786194 seconds (Total)
Chain 1:
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.347969 seconds (Warm-up)
Chain 2: 0.341041 seconds (Sampling)
Chain 2: 0.68901 seconds (Total)
Chain 2:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.369092 seconds (Warm-up)
Chain 3: 0.331235 seconds (Sampling)
Chain 3: 0.700327 seconds (Total)
Chain 3:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.341293 seconds (Warm-up)
Chain 4: 0.34325 seconds (Sampling)
Chain 4: 0.684543 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28605 on localhost:11046 at 09:44:30.279
starting worker pid=28619 on localhost:11046 at 09:44:30.467
starting worker pid=28633 on localhost:11046 at 09:44:30.656
starting worker pid=28647 on localhost:11046 at 09:44:30.854
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 4e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 4.09004 seconds (Warm-up)
Chain 4: 4.82196 seconds (Sampling)
Chain 4: 8.91201 seconds (Total)
Chain 4:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.20982 seconds (Warm-up)
Chain 1: 4.99761 seconds (Sampling)
Chain 1: 9.20743 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.18086 seconds (Warm-up)
Chain 2: 5.04811 seconds (Sampling)
Chain 2: 9.22898 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 4.13502 seconds (Warm-up)
Chain 3: 5.26999 seconds (Sampling)
Chain 3: 9.40501 seconds (Total)
Chain 3: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28672 on localhost:11046 at 09:44:48.347
starting worker pid=28686 on localhost:11046 at 09:44:48.540
starting worker pid=28700 on localhost:11046 at 09:44:48.728
starting worker pid=28714 on localhost:11046 at 09:44:48.919
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.280352 seconds (Warm-up)
Chain 1: 0.297947 seconds (Sampling)
Chain 1: 0.578299 seconds (Total)
Chain 1:
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.276749 seconds (Warm-up)
Chain 2: 0.324136 seconds (Sampling)
Chain 2: 0.600885 seconds (Total)
Chain 2:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.28536 seconds (Warm-up)
Chain 3: 0.330868 seconds (Sampling)
Chain 3: 0.616228 seconds (Total)
Chain 3:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.295735 seconds (Warm-up)
Chain 4: 0.279151 seconds (Sampling)
Chain 4: 0.574886 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28742 on localhost:11046 at 09:44:54.812
starting worker pid=28756 on localhost:11046 at 09:44:54.998
starting worker pid=28770 on localhost:11046 at 09:44:55.183
starting worker pid=28784 on localhost:11046 at 09:44:55.392
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.4e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 3.71849 seconds (Warm-up)
Chain 1: 4.10643 seconds (Sampling)
Chain 1: 7.82493 seconds (Total)
Chain 1:
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 3.69395 seconds (Warm-up)
Chain 2: 4.33782 seconds (Sampling)
Chain 2: 8.03177 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 3.71941 seconds (Warm-up)
Chain 3: 4.38932 seconds (Sampling)
Chain 3: 8.10873 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 3.71899 seconds (Warm-up)
Chain 4: 5.04676 seconds (Sampling)
Chain 4: 8.76575 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28814 on localhost:11046 at 09:45:12.451
starting worker pid=28828 on localhost:11046 at 09:45:12.642
starting worker pid=28842 on localhost:11046 at 09:45:12.831
starting worker pid=28856 on localhost:11046 at 09:45:13.027
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.093555 seconds (Warm-up)
Chain 1: 0.086884 seconds (Sampling)
Chain 1: 0.180439 seconds (Total)
Chain 1:
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.079186 seconds (Warm-up)
Chain 2: 0.096431 seconds (Sampling)
Chain 2: 0.175617 seconds (Total)
Chain 2:
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.089051 seconds (Warm-up)
Chain 3: 0.09669 seconds (Sampling)
Chain 3: 0.185741 seconds (Total)
Chain 3:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.095425 seconds (Warm-up)
Chain 4: 0.098853 seconds (Sampling)
Chain 4: 0.194278 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28882 on localhost:11046 at 09:45:16.623
starting worker pid=28896 on localhost:11046 at 09:45:16.814
starting worker pid=28910 on localhost:11046 at 09:45:17.016
starting worker pid=28931 on localhost:11046 at 09:45:17.282
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.1e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.45357 seconds (Warm-up)
Chain 1: 1.9227 seconds (Sampling)
Chain 1: 3.37627 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.46629 seconds (Warm-up)
Chain 2: 1.84419 seconds (Sampling)
Chain 2: 3.31048 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.42703 seconds (Warm-up)
Chain 3: 1.63374 seconds (Sampling)
Chain 3: 3.06078 seconds (Total)
Chain 3:
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.45542 seconds (Warm-up)
Chain 4: 1.9051 seconds (Sampling)
Chain 4: 3.36052 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=28949 on localhost:11046 at 09:45:29.021
starting worker pid=28963 on localhost:11046 at 09:45:29.214
starting worker pid=28977 on localhost:11046 at 09:45:29.405
starting worker pid=28991 on localhost:11046 at 09:45:29.596
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.110558 seconds (Warm-up)
Chain 1: 0.133477 seconds (Sampling)
Chain 1: 0.244035 seconds (Total)
Chain 1:
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.110814 seconds (Warm-up)
Chain 2: 0.101199 seconds (Sampling)
Chain 2: 0.212013 seconds (Total)
Chain 2:
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.103531 seconds (Warm-up)
Chain 3: 0.108141 seconds (Sampling)
Chain 3: 0.211672 seconds (Total)
Chain 3:
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.09785 seconds (Warm-up)
Chain 4: 0.108266 seconds (Sampling)
Chain 4: 0.206116 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29016 on localhost:11046 at 09:45:33.237
starting worker pid=29030 on localhost:11046 at 09:45:33.426
starting worker pid=29044 on localhost:11046 at 09:45:33.618
starting worker pid=29059 on localhost:11046 at 09:45:33.825
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.4e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.54549 seconds (Warm-up)
Chain 1: 1.7432 seconds (Sampling)
Chain 1: 3.28869 seconds (Total)
Chain 1:
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.55223 seconds (Warm-up)
Chain 2: 1.9819 seconds (Sampling)
Chain 2: 3.53413 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.54275 seconds (Warm-up)
Chain 3: 1.82772 seconds (Sampling)
Chain 3: 3.37047 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.49998 seconds (Warm-up)
Chain 4: 1.93206 seconds (Sampling)
Chain 4: 3.43204 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29083 on localhost:11046 at 09:45:45.861
starting worker pid=29097 on localhost:11046 at 09:45:46.054
starting worker pid=29111 on localhost:11046 at 09:45:46.241
starting worker pid=29126 on localhost:11046 at 09:45:46.452
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.1e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 4e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.323665 seconds (Warm-up)
Chain 1: 0.382795 seconds (Sampling)
Chain 1: 0.70646 seconds (Total)
Chain 1:
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.329779 seconds (Warm-up)
Chain 2: 0.37174 seconds (Sampling)
Chain 2: 0.701519 seconds (Total)
Chain 2:
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.36767 seconds (Warm-up)
Chain 3: 0.34728 seconds (Sampling)
Chain 3: 0.71495 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.364159 seconds (Warm-up)
Chain 4: 0.334242 seconds (Sampling)
Chain 4: 0.698401 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29150 on localhost:11046 at 09:45:52.323
starting worker pid=29164 on localhost:11046 at 09:45:52.513
starting worker pid=29178 on localhost:11046 at 09:45:52.719
starting worker pid=29199 on localhost:11046 at 09:45:52.900
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.8e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 3.83415 seconds (Warm-up)
Chain 1: 4.70467 seconds (Sampling)
Chain 1: 8.53882 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 3.82606 seconds (Warm-up)
Chain 2: 4.74047 seconds (Sampling)
Chain 2: 8.56653 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 3.80421 seconds (Warm-up)
Chain 3: 4.71952 seconds (Sampling)
Chain 3: 8.52372 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 3.78518 seconds (Warm-up)
Chain 4: 5.10683 seconds (Sampling)
Chain 4: 8.89201 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29217 on localhost:11046 at 09:46:10.228
starting worker pid=29231 on localhost:11046 at 09:46:10.420
starting worker pid=29245 on localhost:11046 at 09:46:10.609
starting worker pid=29259 on localhost:11046 at 09:46:10.800
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain Chain 1: 2Iteration: 1500 / 5000 [ 30%] (Warmup):
Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.4895 seconds (Warm-up)
Chain 1: 0.504321 seconds (Sampling)
Chain 1: 0.993821 seconds (Total)
Chain 1:
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.464635 seconds (Warm-up)
Chain 2: 0.495634 seconds (Sampling)
Chain 2: 0.960269 seconds (Total)
Chain 2:
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.462185 seconds (Warm-up)
Chain 3: 0.434888 seconds (Sampling)
Chain 3: 0.897073 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.441566 seconds (Warm-up)
Chain 4: 0.460013 seconds (Sampling)
Chain 4: 0.901579 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29284 on localhost:11046 at 09:46:18.265
starting worker pid=29305 on localhost:11046 at 09:46:18.453
starting worker pid=29319 on localhost:11046 at 09:46:18.639
starting worker pid=29333 on localhost:11046 at 09:46:18.825
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 5.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.4e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.1e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 5.43215 seconds (Warm-up)
Chain 4: 5.71637 seconds (Sampling)
Chain 4: 11.1485 seconds (Total)
Chain 4:
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 5.26703 seconds (Warm-up)
Chain 1: 6.89407 seconds (Sampling)
Chain 1: 12.1611 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 5.25451 seconds (Warm-up)
Chain 3: 7.37056 seconds (Sampling)
Chain 3: 12.6251 seconds (Total)
Chain 3:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 5.36005 seconds (Warm-up)
Chain 2: 7.49501 seconds (Sampling)
Chain 2: 12.8551 seconds (Total)
Chain 2: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29352 on localhost:11046 at 09:46:39.797
starting worker pid=29366 on localhost:11046 at 09:46:39.996
starting worker pid=29380 on localhost:11046 at 09:46:40.184
starting worker pid=29394 on localhost:11046 at 09:46:40.369
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.261525 seconds (Warm-up)
Chain 1: 0.259442 seconds (Sampling)
Chain 1: 0.520967 seconds (Total)
Chain 1:
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.262057 seconds (Warm-up)
Chain 2: 0.281213 seconds (Sampling)
Chain 2: 0.54327 seconds (Total)
Chain 2:
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.272828 seconds (Warm-up)
Chain 3: 0.260821 seconds (Sampling)
Chain 3: 0.533649 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.273351 seconds (Warm-up)
Chain 4: 0.274706 seconds (Sampling)
Chain 4: 0.548057 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29420 on localhost:11046 at 09:46:45.791
starting worker pid=29434 on localhost:11046 at 09:46:45.982
starting worker pid=29448 on localhost:11046 at 09:46:46.174
starting worker pid=29462 on localhost:11046 at 09:46:46.358
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.4e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 3.31156 seconds (Warm-up)
Chain 3: 3.67816 seconds (Sampling)
Chain 3: 6.98972 seconds (Total)
Chain 3:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 3.34939 seconds (Warm-up)
Chain 1: 4.13945 seconds (Sampling)
Chain 1: 7.48883 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 3.37275 seconds (Warm-up)
Chain 2: 4.0369 seconds (Sampling)
Chain 2: 7.40966 seconds (Total)
Chain 2:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 3.27937 seconds (Warm-up)
Chain 4: 3.80281 seconds (Sampling)
Chain 4: 7.08218 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29487 on localhost:11046 at 09:47:02.098
starting worker pid=29501 on localhost:11046 at 09:47:02.291
starting worker pid=29515 on localhost:11046 at 09:47:02.483
starting worker pid=29529 on localhost:11046 at 09:47:02.672
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.1e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4:
Chain 4: Gradient evaluation took 2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.198402 seconds (Warm-up)
Chain 1: 0.198801 seconds (Sampling)
Chain 1: 0.397203 seconds (Total)
Chain 1:
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.189334 seconds (Warm-up)
Chain 2: 0.205298 seconds (Sampling)
Chain 2: 0.394632 seconds (Total)
Chain 2:
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.190714 seconds (Warm-up)
Chain 3: 0.2146 seconds (Sampling)
Chain 3: 0.405314 seconds (Total)
Chain 3:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.196152 seconds (Warm-up)
Chain 4: 0.178658 seconds (Sampling)
Chain 4: 0.37481 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29554 on localhost:11046 at 09:47:07.344
starting worker pid=29568 on localhost:11046 at 09:47:07.533
starting worker pid=29582 on localhost:11046 at 09:47:07.729
starting worker pid=29597 on localhost:11046 at 09:47:07.928
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.8e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 2.58779 seconds (Warm-up)
Chain 1: 3.22253 seconds (Sampling)
Chain 1: 5.81032 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 2.52037 seconds (Warm-up)
Chain 2: 3.28549 seconds (Sampling)
Chain 2: 5.80587 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 2.57884 seconds (Warm-up)
Chain 3: 3.19394 seconds (Sampling)
Chain 3: 5.77278 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 2.58627 seconds (Warm-up)
Chain 4: 3.27831 seconds (Sampling)
Chain 4: 5.86458 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29621 on localhost:11046 at 09:47:22.257
starting worker pid=29635 on localhost:11046 at 09:47:22.452
starting worker pid=29649 on localhost:11046 at 09:47:22.643
starting worker pid=29663 on localhost:11046 at 09:47:22.829
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3:
Chain 3: Gradient evaluation took 3.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.8e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.353242 seconds (Warm-up)
Chain 1: 0.370297 seconds (Sampling)
Chain 1: 0.723539 seconds (Total)
Chain 1:
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.403875 seconds (Warm-up)
Chain 2: 0.39659 seconds (Sampling)
Chain 2: 0.800465 seconds (Total)
Chain 2:
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.364075 seconds (Warm-up)
Chain 3: 0.357738 seconds (Sampling)
Chain 3: 0.721813 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.381993 seconds (Warm-up)
Chain 4: 0.341457 seconds (Sampling)
Chain 4: 0.72345 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29688 on localhost:11046 at 09:47:29.285
starting worker pid=29702 on localhost:11046 at 09:47:29.478
starting worker pid=29717 on localhost:11046 at 09:47:29.675
starting worker pid=29737 on localhost:11046 at 09:47:29.861
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.22004 seconds (Warm-up)
Chain 1: 5.51994 seconds (Sampling)
Chain 1: 9.73998 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 4.329 seconds (Warm-up)
Chain 3: 5.44227 seconds (Sampling)
Chain 3: 9.77127 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 4.26602 seconds (Warm-up)
Chain 4: 5.68975 seconds (Sampling)
Chain 4: 9.95577 seconds (Total)
Chain 4:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.33025 seconds (Warm-up)
Chain 2: 5.84154 seconds (Sampling)
Chain 2: 10.1718 seconds (Total)
Chain 2: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29755 on localhost:11046 at 09:47:48.017
starting worker pid=29769 on localhost:11046 at 09:47:48.210
starting worker pid=29783 on localhost:11046 at 09:47:48.400
starting worker pid=29797 on localhost:11046 at 09:47:48.591
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 7.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.75 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 6.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.65 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.679685 seconds (Warm-up)
Chain 2: 0.607962 seconds (Sampling)
Chain 2: 1.28765 seconds (Total)
Chain 2:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.717635 seconds (Warm-up)
Chain 1: 0.729262 seconds (Sampling)
Chain 1: 1.4469 seconds (Total)
Chain 1:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.705816 seconds (Warm-up)
Chain 3: 0.664651 seconds (Sampling)
Chain 3: 1.37047 seconds (Total)
Chain 3:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.700242 seconds (Warm-up)
Chain 4: 0.691876 seconds (Sampling)
Chain 4: 1.39212 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29822 on localhost:11046 at 09:47:58.692
starting worker pid=29836 on localhost:11046 at 09:47:58.883
starting worker pid=29850 on localhost:11046 at 09:47:59.072
starting worker pid=29864 on localhost:11046 at 09:47:59.263
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 6.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.63 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 4.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 4.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 7.4445 seconds (Warm-up)
Chain 4: 8.91392 seconds (Sampling)
Chain 4: 16.3584 seconds (Total)
Chain 4:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 7.44733 seconds (Warm-up)
Chain 2: 9.49953 seconds (Sampling)
Chain 2: 16.9469 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 7.60815 seconds (Warm-up)
Chain 3: 10.0431 seconds (Sampling)
Chain 3: 17.6513 seconds (Total)
Chain 3:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 7.89906 seconds (Warm-up)
Chain 1: 10.2107 seconds (Sampling)
Chain 1: 18.1098 seconds (Total)
Chain 1: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29889 on localhost:11046 at 09:48:25.522
starting worker pid=29903 on localhost:11046 at 09:48:25.716
starting worker pid=29924 on localhost:11046 at 09:48:25.972
starting worker pid=29938 on localhost:11046 at 09:48:26.157
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 4.3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 5.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.423181 seconds (Warm-up)
Chain 1: 0.40798 seconds (Sampling)
Chain 1: 0.831161 seconds (Total)
Chain 1:
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.433975 seconds (Warm-up)
Chain 2: 0.419397 seconds (Sampling)
Chain 2: 0.853372 seconds (Total)
Chain 2:
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.422288 seconds (Warm-up)
Chain 3: 0.420523 seconds (Sampling)
Chain 3: 0.842811 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.453896 seconds (Warm-up)
Chain 4: 0.394771 seconds (Sampling)
Chain 4: 0.848667 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=29956 on localhost:11046 at 09:48:32.985
starting worker pid=29970 on localhost:11046 at 09:48:33.190
starting worker pid=29991 on localhost:11046 at 09:48:33.370
starting worker pid=30005 on localhost:11046 at 09:48:33.551
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.1e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 4.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.80143 seconds (Warm-up)
Chain 2: 6.33555 seconds (Sampling)
Chain 2: 11.137 seconds (Total)
Chain 2:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.8136 seconds (Warm-up)
Chain 1: 6.54306 seconds (Sampling)
Chain 1: 11.3567 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 4.82431 seconds (Warm-up)
Chain 3: 6.30317 seconds (Sampling)
Chain 3: 11.1275 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 5.07915 seconds (Warm-up)
Chain 4: 6.59086 seconds (Sampling)
Chain 4: 11.67 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30025 on localhost:11046 at 09:48:54.099
starting worker pid=30039 on localhost:11046 at 09:48:54.300
starting worker pid=30053 on localhost:11046 at 09:48:54.497
starting worker pid=30074 on localhost:11046 at 09:48:54.783
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000113 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.13 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 5.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 7.4e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.74 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 5.1e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.767356 seconds (Warm-up)
Chain 1: 0.754005 seconds (Sampling)
Chain 1: 1.52136 seconds (Total)
Chain 1:
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.794103 seconds (Warm-up)
Chain 2: 0.76804 seconds (Sampling)
Chain 2: 1.56214 seconds (Total)
Chain 2:
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.790708 seconds (Warm-up)
Chain 3: 0.790581 seconds (Sampling)
Chain 3: 1.58129 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.806395 seconds (Warm-up)
Chain 4: 0.727759 seconds (Sampling)
Chain 4: 1.53415 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30096 on localhost:11046 at 09:49:06.132
starting worker pid=30110 on localhost:11046 at 09:49:06.331
starting worker pid=30124 on localhost:11046 at 09:49:06.534
starting worker pid=30145 on localhost:11046 at 09:49:06.728
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.7 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.7 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 4.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 5.1e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 8.96987 seconds (Warm-up)
Chain 1: 10.4391 seconds (Sampling)
Chain 1: 19.409 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 8.84927 seconds (Warm-up)
Chain 2: 10.9389 seconds (Sampling)
Chain 2: 19.7882 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 8.87646 seconds (Warm-up)
Chain 3: 11.0866 seconds (Sampling)
Chain 3: 19.9631 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 8.75407 seconds (Warm-up)
Chain 4: 11.7684 seconds (Sampling)
Chain 4: 20.5225 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30163 on localhost:11046 at 09:49:35.679
starting worker pid=30177 on localhost:11046 at 09:49:35.879
starting worker pid=30191 on localhost:11046 at 09:49:36.072
starting worker pid=30206 on localhost:11046 at 09:49:36.292
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2:
Chain 2: Gradient evaluation took 2.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.259997 seconds (Warm-up)
Chain 1: 0.268374 seconds (Sampling)
Chain 1: 0.528371 seconds (Total)
Chain 1:
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.25757 seconds (Warm-up)
Chain 2: 0.266349 seconds (Sampling)
Chain 2: 0.523919 seconds (Total)
Chain 2:
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.281171 seconds (Warm-up)
Chain 3: 0.275561 seconds (Sampling)
Chain 3: 0.556732 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.281211 seconds (Warm-up)
Chain 4: 0.270057 seconds (Sampling)
Chain 4: 0.551268 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30230 on localhost:11046 at 09:49:42.108
starting worker pid=30244 on localhost:11046 at 09:49:42.298
starting worker pid=30258 on localhost:11046 at 09:49:42.500
starting worker pid=30279 on localhost:11046 at 09:49:42.756
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.9e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 3.21385 seconds (Warm-up)
Chain 3: 3.31552 seconds (Sampling)
Chain 3: 6.52937 seconds (Total)
Chain 3:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 3.11368 seconds (Warm-up)
Chain 1: 3.92254 seconds (Sampling)
Chain 1: 7.03622 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 3.18325 seconds (Warm-up)
Chain 2: 3.91403 seconds (Sampling)
Chain 2: 7.09728 seconds (Total)
Chain 2:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 3.22119 seconds (Warm-up)
Chain 4: 3.75118 seconds (Sampling)
Chain 4: 6.97237 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30297 on localhost:11046 at 09:49:58.053
starting worker pid=30311 on localhost:11046 at 09:49:58.252
starting worker pid=30325 on localhost:11046 at 09:49:58.443
starting worker pid=30339 on localhost:11046 at 09:49:58.642
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.081344 seconds (Warm-up)
Chain 1: 0.079351 seconds (Sampling)
Chain 1: 0.160695 seconds (Total)
Chain 1:
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.07144 seconds (Warm-up)
Chain 2: 0.075734 seconds (Sampling)
Chain 2: 0.147174 seconds (Total)
Chain 2:
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.067917 seconds (Warm-up)
Chain 3: 0.086155 seconds (Sampling)
Chain 3: 0.154072 seconds (Total)
Chain 3:
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.0754 seconds (Warm-up)
Chain 4: 0.080333 seconds (Sampling)
Chain 4: 0.155733 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30364 on localhost:11046 at 09:50:02.147
starting worker pid=30378 on localhost:11046 at 09:50:02.338
starting worker pid=30392 on localhost:11046 at 09:50:02.526
starting worker pid=30406 on localhost:11046 at 09:50:02.729
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.22637 seconds (Warm-up)
Chain 1: 1.4632 seconds (Sampling)
Chain 1: 2.68956 seconds (Total)
Chain 1:
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.26701 seconds (Warm-up)
Chain 2: 1.49253 seconds (Sampling)
Chain 2: 2.75954 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.26716 seconds (Warm-up)
Chain 3: 1.57336 seconds (Sampling)
Chain 3: 2.84052 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.23473 seconds (Warm-up)
Chain 4: 1.63143 seconds (Sampling)
Chain 4: 2.86616 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30431 on localhost:11046 at 09:50:14.070
starting worker pid=30445 on localhost:11046 at 09:50:14.266
starting worker pid=30459 on localhost:11046 at 09:50:14.457
starting worker pid=30474 on localhost:11046 at 09:50:14.652
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.8e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.8e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.144173 seconds (Warm-up)
Chain 1: 0.165971 seconds (Sampling)
Chain 1: 0.310144 seconds (Total)
Chain 1:
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.154382 seconds (Warm-up)
Chain 2: 0.162661 seconds (Sampling)
Chain 2: 0.317043 seconds (Total)
Chain 2:
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.139067 seconds (Warm-up)
Chain 3: 0.13105 seconds (Sampling)
Chain 3: 0.270117 seconds (Total)
Chain 3:
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.144372 seconds (Warm-up)
Chain 4: 0.1355 seconds (Sampling)
Chain 4: 0.279872 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30505 on localhost:11046 at 09:50:18.892
starting worker pid=30519 on localhost:11046 at 09:50:19.085
starting worker pid=30533 on localhost:11046 at 09:50:19.274
starting worker pid=30547 on localhost:11046 at 09:50:19.465
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.8e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.87546 seconds (Warm-up)
Chain 1: 2.36741 seconds (Sampling)
Chain 1: 4.24287 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.81589 seconds (Warm-up)
Chain 2: 2.40126 seconds (Sampling)
Chain 2: 4.21715 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.89859 seconds (Warm-up)
Chain 3: 2.36116 seconds (Sampling)
Chain 3: 4.25975 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.82855 seconds (Warm-up)
Chain 4: 2.36904 seconds (Sampling)
Chain 4: 4.19759 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Error in data.frame(K = n_replicates, N = rowSums(wide.loc.matrix), z = ifelse(rowSums(wide.loc.matrix) > :
arguments imply differing number of rows: 1, 0
loc_list [1] "16SH1" "16Svar" "18SSSU3" "18Sn4" "L2513H2714" "aquaF2"
[7] "aquaF3" "cep" "ceph16S" "crust16S" "fishcoilbc" "fishminiA"
[13] "mifish" "minibar" "nsCOIFo" "plankCOI" "shark474" "sharkCOImini"
[19] "short28S" "crust2" "16Sfish" "teleo" Because we only really could control for false positives (to some degree) in the vouchered reference pool, my expectation is that those samples will have greater separation between true and false positives, and thus, perform better using this framework.
testing the number of iterations:
I have always seen an output error message from this analysis that says: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See http://mc-stan.org/misc/warnings.html#tail-ess
Although I bumped up the number of iterations from 5K to 10K, I never fully investigated if I could get the warning message to go away with a sufficient number of iterations.
Before I move forward with these data, let’s see if 50K or 100K improves the estimate or if it is a sample size problem that I’m not going to be able to overcome by more iterations.
Based on testing a few different iteration options, I’m sticking with 100k.
Given the uncertainty of the tail probabilities, it seems best to take that into consideration when removing ASVs as putative false positives.
So, if the occupancy estimate + the error is <80%, I will say that is sufficient evidence to remove that ASV.
Running the SODM with full reference pool samples
Full reference pool - all 22 loci
# lapply over the list of 22 loci
lapply(loc_list, sodm.by.locus, feature_table = features_w_taxonomy, site = "FRP", n_replicates = 9)starting worker pid=30633 on localhost:11046 at 10:00:55.021
starting worker pid=30647 on localhost:11046 at 10:00:55.248
starting worker pid=30661 on localhost:11046 at 10:00:55.450
starting worker pid=30675 on localhost:11046 at 10:00:55.646
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.12406 seconds (Warm-up)
Chain 1: 0.135103 seconds (Sampling)
Chain 1: 0.259163 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.126339 seconds (Warm-up)
Chain 2: 0.121333 seconds (Sampling)
Chain 2: 0.247672 seconds (Total)
Chain 2:
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4:
Chain 4: Gradient evaluation took 1.8e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.121675 seconds (Warm-up)
Chain 3: 0.123647 seconds (Sampling)
Chain 3: 0.245322 seconds (Total)
Chain 3:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.111193 seconds (Warm-up)
Chain 4: 0.121354 seconds (Sampling)
Chain 4: 0.232547 seconds (Total)
Chain 4: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
Running the chains for more iterations may help. See
http://mc-stan.org/misc/warnings.html#tail-essWarning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
`expand_scale()` is deprecated; use `expansion()` instead.starting worker pid=30700 on localhost:11046 at 10:01:00.253
starting worker pid=30714 on localhost:11046 at 10:01:00.443
starting worker pid=30728 on localhost:11046 at 10:01:00.630
starting worker pid=30742 on localhost:11046 at 10:01:00.822
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.74502 seconds (Warm-up)
Chain 1: 2.46974 seconds (Sampling)
Chain 1: 4.21477 seconds (Total)
Chain 1:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.71118 seconds (Warm-up)
Chain 4: 2.18268 seconds (Sampling)
Chain 4: 3.89387 seconds (Total)
Chain 4:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.70718 seconds (Warm-up)
Chain 3: 2.36088 seconds (Sampling)
Chain 3: 4.06807 seconds (Total)
Chain 3:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.73322 seconds (Warm-up)
Chain 2: 2.47216 seconds (Sampling)
Chain 2: 4.20538 seconds (Total)
Chain 2: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30760 on localhost:11046 at 10:01:13.499
starting worker pid=30774 on localhost:11046 at 10:01:13.690
starting worker pid=30788 on localhost:11046 at 10:01:13.883
starting worker pid=30802 on localhost:11046 at 10:01:14.078
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.8e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.4e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.302979 seconds (Warm-up)
Chain 1: 0.315577 seconds (Sampling)
Chain 1: 0.618556 seconds (Total)
Chain 1:
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.306055 seconds (Warm-up)
Chain 2: 0.314986 seconds (Sampling)
Chain 2: 0.621041 seconds (Total)
Chain 2:
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.302011 seconds (Warm-up)
Chain 3: 0.296741 seconds (Sampling)
Chain 3: 0.598752 seconds (Total)
Chain 3:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.316697 seconds (Warm-up)
Chain 4: 0.283089 seconds (Sampling)
Chain 4: 0.599786 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30828 on localhost:11046 at 10:01:19.880
starting worker pid=30842 on localhost:11046 at 10:01:20.080
starting worker pid=30857 on localhost:11046 at 10:01:20.298
starting worker pid=30877 on localhost:11046 at 10:01:20.499
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 3.91154 seconds (Warm-up)
Chain 4: 4.22363 seconds (Sampling)
Chain 4: 8.13517 seconds (Total)
Chain 4:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 3.97577 seconds (Warm-up)
Chain 1: 4.76444 seconds (Sampling)
Chain 1: 8.74021 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 3.92248 seconds (Warm-up)
Chain 3: 4.67929 seconds (Sampling)
Chain 3: 8.60177 seconds (Total)
Chain 3:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.02794 seconds (Warm-up)
Chain 2: 4.85254 seconds (Sampling)
Chain 2: 8.88048 seconds (Total)
Chain 2: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30926 on localhost:11046 at 10:01:38.096
starting worker pid=30940 on localhost:11046 at 10:01:38.286
starting worker pid=30955 on localhost:11046 at 10:01:38.472
starting worker pid=30975 on localhost:11046 at 10:01:38.658
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 5.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.286283 seconds (Warm-up)
Chain 1: 0.284098 seconds (Sampling)
Chain 1: 0.570381 seconds (Total)
Chain 1:
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.269764 seconds (Warm-up)
Chain 2: 0.325802 seconds (Sampling)
Chain 2: 0.595566 seconds (Total)
Chain 2:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.294022 seconds (Warm-up)
Chain 3: 0.296618 seconds (Sampling)
Chain 3: 0.59064 seconds (Total)
Chain 3:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.294172 seconds (Warm-up)
Chain 4: 0.27089 seconds (Sampling)
Chain 4: 0.565062 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=30993 on localhost:11046 at 10:01:44.603
starting worker pid=31007 on localhost:11046 at 10:01:44.782
starting worker pid=31021 on localhost:11046 at 10:01:44.985
starting worker pid=31042 on localhost:11046 at 10:01:45.217
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 3.71357 seconds (Warm-up)
Chain 1: 4.30491 seconds (Sampling)
Chain 1: 8.01848 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 3.64128 seconds (Warm-up)
Chain 3: 4.32292 seconds (Sampling)
Chain 3: 7.96421 seconds (Total)
Chain 3:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 3.63944 seconds (Warm-up)
Chain 2: 4.60266 seconds (Sampling)
Chain 2: 8.2421 seconds (Total)
Chain 2:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 3.72159 seconds (Warm-up)
Chain 4: 4.47751 seconds (Sampling)
Chain 4: 8.19909 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31060 on localhost:11046 at 10:02:02.479
starting worker pid=31074 on localhost:11046 at 10:02:02.666
starting worker pid=31088 on localhost:11046 at 10:02:02.895
starting worker pid=31109 on localhost:11046 at 10:02:03.186
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 4.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.324895 seconds (Warm-up)
Chain 1: 0.345339 seconds (Sampling)
Chain 1: 0.670234 seconds (Total)
Chain 1:
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.347 seconds (Warm-up)
Chain 2: 0.329408 seconds (Sampling)
Chain 2: 0.676408 seconds (Total)
Chain 2:
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.351451 seconds (Warm-up)
Chain 3: 0.298171 seconds (Sampling)
Chain 3: 0.649622 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.342454 seconds (Warm-up)
Chain 4: 0.349072 seconds (Sampling)
Chain 4: 0.691526 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31129 on localhost:11046 at 10:02:10.125
starting worker pid=31150 on localhost:11046 at 10:02:10.310
starting worker pid=31170 on localhost:11046 at 10:02:10.490
starting worker pid=31184 on localhost:11046 at 10:02:10.673
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.8e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 4e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.40555 seconds (Warm-up)
Chain 2: 5.50267 seconds (Sampling)
Chain 2: 9.90822 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 4.364 seconds (Warm-up)
Chain 3: 5.54433 seconds (Sampling)
Chain 3: 9.90833 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 4.38832 seconds (Warm-up)
Chain 4: 5.48155 seconds (Sampling)
Chain 4: 9.86988 seconds (Total)
Chain 4:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.41372 seconds (Warm-up)
Chain 1: 6.10853 seconds (Sampling)
Chain 1: 10.5222 seconds (Total)
Chain 1: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31209 on localhost:11046 at 10:02:29.755
starting worker pid=31223 on localhost:11046 at 10:02:29.950
starting worker pid=31237 on localhost:11046 at 10:02:30.133
starting worker pid=31252 on localhost:11046 at 10:02:30.330
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.4e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.088654 seconds (Warm-up)
Chain 1: 0.091984 seconds (Sampling)
Chain 1: 0.180638 seconds (Total)
Chain 1:
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.089353 seconds (Warm-up)
Chain 2: 0.096717 seconds (Sampling)
Chain 2: 0.18607 seconds (Total)
Chain 2:
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.087681 seconds (Warm-up)
Chain 3: 0.095036 seconds (Sampling)
Chain 3: 0.182717 seconds (Total)
Chain 3:
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.083612 seconds (Warm-up)
Chain 4: 0.085928 seconds (Sampling)
Chain 4: 0.16954 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31276 on localhost:11046 at 10:02:34.031
starting worker pid=31290 on localhost:11046 at 10:02:34.220
starting worker pid=31311 on localhost:11046 at 10:02:34.499
starting worker pid=31325 on localhost:11046 at 10:02:34.682
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.4e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.4e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.47018 seconds (Warm-up)
Chain 2: 1.97286 seconds (Sampling)
Chain 2: 3.44305 seconds (Total)
Chain 2:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.47213 seconds (Warm-up)
Chain 1: 2.19037 seconds (Sampling)
Chain 1: 3.6625 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.46954 seconds (Warm-up)
Chain 3: 2.08777 seconds (Sampling)
Chain 3: 3.55731 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.43983 seconds (Warm-up)
Chain 4: 2.17056 seconds (Sampling)
Chain 4: 3.61039 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31355 on localhost:11046 at 10:02:47.825
starting worker pid=31369 on localhost:11046 at 10:02:48.022
starting worker pid=31383 on localhost:11046 at 10:02:48.213
starting worker pid=31397 on localhost:11046 at 10:02:48.409
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 5.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.8e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.493179 seconds (Warm-up)
Chain 2: 0.417028 seconds (Sampling)
Chain 2: 0.910207 seconds (Total)
Chain 2:
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.512604 seconds (Warm-up)
Chain 1: 0.512379 seconds (Sampling)
Chain 1: 1.02498 seconds (Total)
Chain 1:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.477381 seconds (Warm-up)
Chain 3: 0.532172 seconds (Sampling)
Chain 3: 1.00955 seconds (Total)
Chain 3:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.509177 seconds (Warm-up)
Chain 4: 0.497098 seconds (Sampling)
Chain 4: 1.00628 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31429 on localhost:11046 at 10:02:57.047
starting worker pid=31450 on localhost:11046 at 10:02:57.261
starting worker pid=31464 on localhost:11046 at 10:02:57.453
starting worker pid=31478 on localhost:11046 at 10:02:57.645
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 5.2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 4.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 5.85881 seconds (Warm-up)
Chain 2: 7.2475 seconds (Sampling)
Chain 2: 13.1063 seconds (Total)
Chain 2:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 5.9347 seconds (Warm-up)
Chain 4: 7.44826 seconds (Sampling)
Chain 4: 13.383 seconds (Total)
Chain 4:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 5.86353 seconds (Warm-up)
Chain 3: 7.76425 seconds (Sampling)
Chain 3: 13.6278 seconds (Total)
Chain 3:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 5.99665 seconds (Warm-up)
Chain 1: 8.07102 seconds (Sampling)
Chain 1: 14.0677 seconds (Total)
Chain 1: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31511 on localhost:11046 at 10:03:21.115
starting worker pid=31525 on localhost:11046 at 10:03:21.309
starting worker pid=31539 on localhost:11046 at 10:03:21.496
starting worker pid=31560 on localhost:11046 at 10:03:21.761
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 4.4e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.360111 seconds (Warm-up)
Chain 1: 0.338537 seconds (Sampling)
Chain 1: 0.698648 seconds (Total)
Chain 1:
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.369481 seconds (Warm-up)
Chain 2: 0.348449 seconds (Sampling)
Chain 2: 0.71793 seconds (Total)
Chain 2:
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.344892 seconds (Warm-up)
Chain 3: 0.365336 seconds (Sampling)
Chain 3: 0.710228 seconds (Total)
Chain 3:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.360942 seconds (Warm-up)
Chain 4: 0.33544 seconds (Sampling)
Chain 4: 0.696382 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31578 on localhost:11046 at 10:03:28.611
starting worker pid=31592 on localhost:11046 at 10:03:28.797
starting worker pid=31613 on localhost:11046 at 10:03:29.065
starting worker pid=31627 on localhost:11046 at 10:03:29.257
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.8e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.48 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.1e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 4.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.56919 seconds (Warm-up)
Chain 2: 4.90626 seconds (Sampling)
Chain 2: 9.47545 seconds (Total)
Chain 2:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.56561 seconds (Warm-up)
Chain 1: 5.43557 seconds (Sampling)
Chain 1: 10.0012 seconds (Total)
Chain 1:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 4.63863 seconds (Warm-up)
Chain 4: 5.37691 seconds (Sampling)
Chain 4: 10.0155 seconds (Total)
Chain 4:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 4.54939 seconds (Warm-up)
Chain 3: 5.72034 seconds (Sampling)
Chain 3: 10.2697 seconds (Total)
Chain 3: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31660 on localhost:11046 at 10:03:48.443
starting worker pid=31674 on localhost:11046 at 10:03:48.623
starting worker pid=31688 on localhost:11046 at 10:03:48.811
starting worker pid=31702 on localhost:11046 at 10:03:48.992
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3:
Chain 3: Gradient evaluation took 2.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 4.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.321475 seconds (Warm-up)
Chain 1: 0.304161 seconds (Sampling)
Chain 1: 0.625636 seconds (Total)
Chain 1:
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.312124 seconds (Warm-up)
Chain 2: 0.313218 seconds (Sampling)
Chain 2: 0.625342 seconds (Total)
Chain 2:
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.319957 seconds (Warm-up)
Chain 3: 0.288151 seconds (Sampling)
Chain 3: 0.608108 seconds (Total)
Chain 3:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.326698 seconds (Warm-up)
Chain 4: 0.335899 seconds (Sampling)
Chain 4: 0.662597 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31727 on localhost:11046 at 10:03:55.191
starting worker pid=31741 on localhost:11046 at 10:03:55.410
starting worker pid=31762 on localhost:11046 at 10:03:55.627
starting worker pid=31776 on localhost:11046 at 10:03:55.813
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.53416 seconds (Warm-up)
Chain 2: 5.14096 seconds (Sampling)
Chain 2: 9.67512 seconds (Total)
Chain 2:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 4.50244 seconds (Warm-up)
Chain 4: 5.1741 seconds (Sampling)
Chain 4: 9.67654 seconds (Total)
Chain 4:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.53148 seconds (Warm-up)
Chain 1: 5.44597 seconds (Sampling)
Chain 1: 9.97746 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 4.58277 seconds (Warm-up)
Chain 3: 5.55478 seconds (Sampling)
Chain 3: 10.1375 seconds (Total)
Chain 3: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31795 on localhost:11046 at 10:04:14.377
starting worker pid=31809 on localhost:11046 at 10:04:14.561
starting worker pid=31823 on localhost:11046 at 10:04:14.744
starting worker pid=31838 on localhost:11046 at 10:04:14.946
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.8e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.8e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.116291 seconds (Warm-up)
Chain 1: 0.122781 seconds (Sampling)
Chain 1: 0.239072 seconds (Total)
Chain 1:
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.114532 seconds (Warm-up)
Chain 2: 0.114827 seconds (Sampling)
Chain 2: 0.229359 seconds (Total)
Chain 2:
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.114641 seconds (Warm-up)
Chain 3: 0.121226 seconds (Sampling)
Chain 3: 0.235867 seconds (Total)
Chain 3:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.110602 seconds (Warm-up)
Chain 4: 0.11448 seconds (Sampling)
Chain 4: 0.225082 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31862 on localhost:11046 at 10:04:18.809
starting worker pid=31877 on localhost:11046 at 10:04:19.000
starting worker pid=31897 on localhost:11046 at 10:04:19.182
starting worker pid=31911 on localhost:11046 at 10:04:19.366
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.70599 seconds (Warm-up)
Chain 1: 2.04522 seconds (Sampling)
Chain 1: 3.75121 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.65191 seconds (Warm-up)
Chain 2: 2.17651 seconds (Sampling)
Chain 2: 3.82842 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.64877 seconds (Warm-up)
Chain 3: 2.19971 seconds (Sampling)
Chain 3: 3.84848 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.7167 seconds (Warm-up)
Chain 4: 2.23441 seconds (Sampling)
Chain 4: 3.95111 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31929 on localhost:11046 at 10:04:31.393
starting worker pid=31943 on localhost:11046 at 10:04:31.581
starting worker pid=31957 on localhost:11046 at 10:04:31.767
starting worker pid=31971 on localhost:11046 at 10:04:31.949
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.8e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.118727 seconds (Warm-up)
Chain 1: 0.116551 seconds (Sampling)
Chain 1: 0.235278 seconds (Total)
Chain 1:
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4:
Chain 4: Gradient evaluation took 1.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.107581 seconds (Warm-up)
Chain 2: 0.10389 seconds (Sampling)
Chain 2: 0.211471 seconds (Total)
Chain 2:
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.100701 seconds (Warm-up)
Chain 3: 0.104418 seconds (Sampling)
Chain 3: 0.205119 seconds (Total)
Chain 3:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.099132 seconds (Warm-up)
Chain 4: 0.098777 seconds (Sampling)
Chain 4: 0.197909 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=31996 on localhost:11046 at 10:04:35.884
starting worker pid=32010 on localhost:11046 at 10:04:36.068
starting worker pid=32025 on localhost:11046 at 10:04:36.258
starting worker pid=32045 on localhost:11046 at 10:04:36.443
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.55269 seconds (Warm-up)
Chain 4: 1.75893 seconds (Sampling)
Chain 4: 3.31163 seconds (Total)
Chain 4:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.56174 seconds (Warm-up)
Chain 2: 1.94065 seconds (Sampling)
Chain 2: 3.5024 seconds (Total)
Chain 2:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.54079 seconds (Warm-up)
Chain 1: 2.05521 seconds (Sampling)
Chain 1: 3.59601 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.58109 seconds (Warm-up)
Chain 3: 1.89999 seconds (Sampling)
Chain 3: 3.48108 seconds (Total)
Chain 3: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32063 on localhost:11046 at 10:04:48.108
starting worker pid=32077 on localhost:11046 at 10:04:48.289
starting worker pid=32091 on localhost:11046 at 10:04:48.471
starting worker pid=32105 on localhost:11046 at 10:04:48.653
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3:
Chain 3: Gradient evaluation took 3.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.8e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.327017 seconds (Warm-up)
Chain 1: 0.330291 seconds (Sampling)
Chain 1: 0.657308 seconds (Total)
Chain 1:
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.321566 seconds (Warm-up)
Chain 2: 0.330147 seconds (Sampling)
Chain 2: 0.651713 seconds (Total)
Chain 2:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.314116 seconds (Warm-up)
Chain 3: 0.328154 seconds (Sampling)
Chain 3: 0.64227 seconds (Total)
Chain 3:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.311991 seconds (Warm-up)
Chain 4: 0.300393 seconds (Sampling)
Chain 4: 0.612384 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32130 on localhost:11046 at 10:04:54.913
starting worker pid=32144 on localhost:11046 at 10:04:55.095
starting worker pid=32158 on localhost:11046 at 10:04:55.285
starting worker pid=32179 on localhost:11046 at 10:04:55.547
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.15613 seconds (Warm-up)
Chain 2: 4.89496 seconds (Sampling)
Chain 2: 9.05109 seconds (Total)
Chain 2:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.16423 seconds (Warm-up)
Chain 1: 5.46961 seconds (Sampling)
Chain 1: 9.63384 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 4.18902 seconds (Warm-up)
Chain 3: 5.27839 seconds (Sampling)
Chain 3: 9.46741 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 4.2716 seconds (Warm-up)
Chain 4: 5.75175 seconds (Sampling)
Chain 4: 10.0234 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32197 on localhost:11046 at 10:05:13.487
starting worker pid=32211 on localhost:11046 at 10:05:13.670
starting worker pid=32225 on localhost:11046 at 10:05:13.856
starting worker pid=32239 on localhost:11046 at 10:05:14.044
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 4:
Chain 4: Gradient evaluation took 3.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.476493 seconds (Warm-up)
Chain 1: 0.511886 seconds (Sampling)
Chain 1: 0.988379 seconds (Total)
Chain 1:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.4938 seconds (Warm-up)
Chain 3: 0.403672 seconds (Sampling)
Chain 3: 0.897472 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.476115 seconds (Warm-up)
Chain 2: 0.549117 seconds (Sampling)
Chain 2: 1.02523 seconds (Total)
Chain 2:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.495365 seconds (Warm-up)
Chain 4: 0.432046 seconds (Sampling)
Chain 4: 0.927411 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32271 on localhost:11046 at 10:05:22.202
starting worker pid=32285 on localhost:11046 at 10:05:22.387
starting worker pid=32299 on localhost:11046 at 10:05:22.576
starting worker pid=32313 on localhost:11046 at 10:05:22.761
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.6e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.6e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 6.03929 seconds (Warm-up)
Chain 1: 7.42227 seconds (Sampling)
Chain 1: 13.4616 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 6.09908 seconds (Warm-up)
Chain 2: 7.51842 seconds (Sampling)
Chain 2: 13.6175 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 6.16367 seconds (Warm-up)
Chain 3: 8.09366 seconds (Sampling)
Chain 3: 14.2573 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 6.18529 seconds (Warm-up)
Chain 4: 8.28945 seconds (Sampling)
Chain 4: 14.4747 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32331 on localhost:11046 at 10:05:46.078
starting worker pid=32345 on localhost:11046 at 10:05:46.270
starting worker pid=32359 on localhost:11046 at 10:05:46.459
starting worker pid=32373 on localhost:11046 at 10:05:46.652
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.1e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.8e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.8e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.298664 seconds (Warm-up)
Chain 1: 0.310738 seconds (Sampling)
Chain 1: 0.609402 seconds (Total)
Chain 1:
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.297223 seconds (Warm-up)
Chain 2: 0.332833 seconds (Sampling)
Chain 2: 0.630056 seconds (Total)
Chain 2:
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.299245 seconds (Warm-up)
Chain 3: 0.308989 seconds (Sampling)
Chain 3: 0.608234 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.305984 seconds (Warm-up)
Chain 4: 0.298832 seconds (Sampling)
Chain 4: 0.604816 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32398 on localhost:11046 at 10:05:52.862
starting worker pid=32412 on localhost:11046 at 10:05:53.043
starting worker pid=32426 on localhost:11046 at 10:05:53.234
starting worker pid=32447 on localhost:11046 at 10:05:53.414
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.5e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.6e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 4.05626 seconds (Warm-up)
Chain 3: 4.87082 seconds (Sampling)
Chain 3: 8.92708 seconds (Total)
Chain 3:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.08673 seconds (Warm-up)
Chain 1: 5.10621 seconds (Sampling)
Chain 1: 9.19294 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.09074 seconds (Warm-up)
Chain 2: 5.21759 seconds (Sampling)
Chain 2: 9.30833 seconds (Total)
Chain 2:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 4.101 seconds (Warm-up)
Chain 4: 5.24318 seconds (Sampling)
Chain 4: 9.34418 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32465 on localhost:11046 at 10:06:11.030
starting worker pid=32479 on localhost:11046 at 10:06:11.212
starting worker pid=32493 on localhost:11046 at 10:06:11.399
starting worker pid=32514 on localhost:11046 at 10:06:11.672
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.4e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.225256 seconds (Warm-up)
Chain 1: 0.217388 seconds (Sampling)
Chain 1: 0.442644 seconds (Total)
Chain 1:
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.226096 seconds (Warm-up)
Chain 2: 0.243449 seconds (Sampling)
Chain 2: 0.469545 seconds (Total)
Chain 2:
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.229477 seconds (Warm-up)
Chain 3: 0.216181 seconds (Sampling)
Chain 3: 0.445658 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.226815 seconds (Warm-up)
Chain 4: 0.196663 seconds (Sampling)
Chain 4: 0.423478 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32539 on localhost:11046 at 10:06:16.872
starting worker pid=32553 on localhost:11046 at 10:06:17.051
starting worker pid=32567 on localhost:11046 at 10:06:17.233
starting worker pid=32581 on localhost:11046 at 10:06:17.416
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 2.98845 seconds (Warm-up)
Chain 1: 4.07024 seconds (Sampling)
Chain 1: 7.05869 seconds (Total)
Chain 1:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 2.95814 seconds (Warm-up)
Chain 2: 3.99822 seconds (Sampling)
Chain 2: 6.95636 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 2.99381 seconds (Warm-up)
Chain 3: 4.02086 seconds (Sampling)
Chain 3: 7.01467 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 3.05002 seconds (Warm-up)
Chain 4: 4.27461 seconds (Sampling)
Chain 4: 7.32463 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32599 on localhost:11046 at 10:06:33.123
starting worker pid=32613 on localhost:11046 at 10:06:33.304
starting worker pid=32627 on localhost:11046 at 10:06:33.485
starting worker pid=32641 on localhost:11046 at 10:06:33.671
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.1e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.401803 seconds (Warm-up)
Chain 1: 0.408578 seconds (Sampling)
Chain 1: 0.810381 seconds (Total)
Chain 1:
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.385798 seconds (Warm-up)
Chain 2: 0.364032 seconds (Sampling)
Chain 2: 0.74983 seconds (Total)
Chain 2:
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.383672 seconds (Warm-up)
Chain 3: 0.410032 seconds (Sampling)
Chain 3: 0.793704 seconds (Total)
Chain 3:
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.392492 seconds (Warm-up)
Chain 4: 0.408051 seconds (Sampling)
Chain 4: 0.800543 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32666 on localhost:11046 at 10:06:40.612
starting worker pid=32680 on localhost:11046 at 10:06:40.801
starting worker pid=32701 on localhost:11046 at 10:06:41.007
starting worker pid=32715 on localhost:11046 at 10:06:41.189
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.1e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 5.09363 seconds (Warm-up)
Chain 3: 5.79176 seconds (Sampling)
Chain 3: 10.8854 seconds (Total)
Chain 3:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.92643 seconds (Warm-up)
Chain 1: 6.36324 seconds (Sampling)
Chain 1: 11.2897 seconds (Total)
Chain 1:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 5.18675 seconds (Warm-up)
Chain 4: 5.88819 seconds (Sampling)
Chain 4: 11.0749 seconds (Total)
Chain 4:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 4.94908 seconds (Warm-up)
Chain 2: 6.67675 seconds (Sampling)
Chain 2: 11.6258 seconds (Total)
Chain 2: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32733 on localhost:11046 at 10:07:00.969
starting worker pid=32747 on localhost:11046 at 10:07:01.159
starting worker pid=32761 on localhost:11046 at 10:07:01.346
starting worker pid=32775 on localhost:11046 at 10:07:01.537
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 5.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 5.7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 5.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 5.8e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.58 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.875249 seconds (Warm-up)
Chain 2: 0.752523 seconds (Sampling)
Chain 2: 1.62777 seconds (Total)
Chain 2:
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.895087 seconds (Warm-up)
Chain 1: 0.859695 seconds (Sampling)
Chain 1: 1.75478 seconds (Total)
Chain 1:
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.912416 seconds (Warm-up)
Chain 3: 0.809272 seconds (Sampling)
Chain 3: 1.72169 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.869882 seconds (Warm-up)
Chain 4: 0.742829 seconds (Sampling)
Chain 4: 1.61271 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32800 on localhost:11046 at 10:07:14.479
starting worker pid=32814 on localhost:11046 at 10:07:14.663
starting worker pid=32828 on localhost:11046 at 10:07:14.848
starting worker pid=32843 on localhost:11046 at 10:07:15.042
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 5.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 8.5e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.85 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 5.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 5.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 10.8898 seconds (Warm-up)
Chain 2: 11.4094 seconds (Sampling)
Chain 2: 22.2993 seconds (Total)
Chain 2:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 10.8384 seconds (Warm-up)
Chain 4: 12.7477 seconds (Sampling)
Chain 4: 23.5861 seconds (Total)
Chain 4:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 10.7254 seconds (Warm-up)
Chain 1: 13.4027 seconds (Sampling)
Chain 1: 24.1281 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 10.9162 seconds (Warm-up)
Chain 3: 13.2071 seconds (Sampling)
Chain 3: 24.1233 seconds (Total)
Chain 3: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32867 on localhost:11046 at 10:07:47.757
starting worker pid=32881 on localhost:11046 at 10:07:47.957
starting worker pid=32896 on localhost:11046 at 10:07:48.155
starting worker pid=32916 on localhost:11046 at 10:07:48.346
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 3.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 3.5e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.459841 seconds (Warm-up)
Chain 1: 0.491807 seconds (Sampling)
Chain 1: 0.951648 seconds (Total)
Chain 1:
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.506678 seconds (Warm-up)
Chain 2: 0.499285 seconds (Sampling)
Chain 2: 1.00596 seconds (Total)
Chain 2:
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.489902 seconds (Warm-up)
Chain 3: 0.446801 seconds (Sampling)
Chain 3: 0.936703 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.507304 seconds (Warm-up)
Chain 4: 0.454185 seconds (Sampling)
Chain 4: 0.961489 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=32936 on localhost:11046 at 10:07:56.254
starting worker pid=32956 on localhost:11046 at 10:07:56.446
starting worker pid=32970 on localhost:11046 at 10:07:56.635
starting worker pid=32984 on localhost:11046 at 10:07:56.828
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 4.2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 5.2e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 3.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 4.7e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 5.45115 seconds (Warm-up)
Chain 1: 6.56813 seconds (Sampling)
Chain 1: 12.0193 seconds (Total)
Chain 1:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 5.38519 seconds (Warm-up)
Chain 4: 6.51396 seconds (Sampling)
Chain 4: 11.8992 seconds (Total)
Chain 4:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 5.29008 seconds (Warm-up)
Chain 2: 6.95635 seconds (Sampling)
Chain 2: 12.2464 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 5.3792 seconds (Warm-up)
Chain 3: 7.04159 seconds (Sampling)
Chain 3: 12.4208 seconds (Total)
Chain 3: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33002 on localhost:11046 at 10:08:17.437
starting worker pid=33016 on localhost:11046 at 10:08:17.620
starting worker pid=33030 on localhost:11046 at 10:08:17.805
starting worker pid=33045 on localhost:11046 at 10:08:17.998
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 8.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.86 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 5.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 9.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.97 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 6.1e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.855601 seconds (Warm-up)
Chain 1: 0.725407 seconds (Sampling)
Chain 1: 1.58101 seconds (Total)
Chain 1:
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.871905 seconds (Warm-up)
Chain 2: 0.834168 seconds (Sampling)
Chain 2: 1.70607 seconds (Total)
Chain 2:
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.874981 seconds (Warm-up)
Chain 3: 0.86122 seconds (Sampling)
Chain 3: 1.7362 seconds (Total)
Chain 3:
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.798381 seconds (Warm-up)
Chain 4: 0.800656 seconds (Sampling)
Chain 4: 1.59904 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33069 on localhost:11046 at 10:08:30.702
starting worker pid=33083 on localhost:11046 at 10:08:30.881
starting worker pid=33097 on localhost:11046 at 10:08:31.070
starting worker pid=33118 on localhost:11046 at 10:08:31.254
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 5.3e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 5.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 5.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 5.8e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.58 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 10.1379 seconds (Warm-up)
Chain 2: 12.5321 seconds (Sampling)
Chain 2: 22.67 seconds (Total)
Chain 2:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 10.1529 seconds (Warm-up)
Chain 1: 13.3964 seconds (Sampling)
Chain 1: 23.5493 seconds (Total)
Chain 1:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 10.0257 seconds (Warm-up)
Chain 4: 13.793 seconds (Sampling)
Chain 4: 23.8188 seconds (Total)
Chain 4:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 10.0348 seconds (Warm-up)
Chain 3: 14.143 seconds (Sampling)
Chain 3: 24.1778 seconds (Total)
Chain 3: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33138 on localhost:11046 at 10:09:03.831
starting worker pid=33152 on localhost:11046 at 10:09:04.021
starting worker pid=33167 on localhost:11046 at 10:09:04.226
starting worker pid=33187 on localhost:11046 at 10:09:04.411
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 3.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 2.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2.1e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.192656 seconds (Warm-up)
Chain 1: 0.180706 seconds (Sampling)
Chain 1: 0.373362 seconds (Total)
Chain 1:
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.9e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.188602 seconds (Warm-up)
Chain 2: 0.196007 seconds (Sampling)
Chain 2: 0.384609 seconds (Total)
Chain 2:
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.192755 seconds (Warm-up)
Chain 3: 0.193433 seconds (Sampling)
Chain 3: 0.386188 seconds (Total)
Chain 3:
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.176235 seconds (Warm-up)
Chain 4: 0.186664 seconds (Sampling)
Chain 4: 0.362899 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33213 on localhost:11046 at 10:09:09.659
starting worker pid=33227 on localhost:11046 at 10:09:09.840
starting worker pid=33241 on localhost:11046 at 10:09:10.026
starting worker pid=33255 on localhost:11046 at 10:09:10.205
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 2e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2.1e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 2.50836 seconds (Warm-up)
Chain 2: 3.01147 seconds (Sampling)
Chain 2: 5.51983 seconds (Total)
Chain 2:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 2.51997 seconds (Warm-up)
Chain 3: 3.12211 seconds (Sampling)
Chain 3: 5.64208 seconds (Total)
Chain 3:
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 2.50768 seconds (Warm-up)
Chain 1: 3.32247 seconds (Sampling)
Chain 1: 5.83016 seconds (Total)
Chain 1:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 2.54224 seconds (Warm-up)
Chain 4: 3.24818 seconds (Sampling)
Chain 4: 5.79042 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33273 on localhost:11046 at 10:09:24.095
starting worker pid=33287 on localhost:11046 at 10:09:24.276
starting worker pid=33301 on localhost:11046 at 10:09:24.457
starting worker pid=33315 on localhost:11046 at 10:09:24.646
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.6e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.068012 seconds (Warm-up)
Chain 1: 0.069247 seconds (Sampling)
Chain 1: 0.137259 seconds (Total)
Chain 1:
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.073108 seconds (Warm-up)
Chain 2: 0.069813 seconds (Sampling)
Chain 2: 0.142921 seconds (Total)
Chain 2:
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.06842 seconds (Warm-up)
Chain 3: 0.071966 seconds (Sampling)
Chain 3: 0.140386 seconds (Total)
Chain 3:
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.067093 seconds (Warm-up)
Chain 4: 0.0688 seconds (Sampling)
Chain 4: 0.135893 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33347 on localhost:11046 at 10:09:28.162
starting worker pid=33361 on localhost:11046 at 10:09:28.342
starting worker pid=33375 on localhost:11046 at 10:09:28.522
starting worker pid=33389 on localhost:11046 at 10:09:28.705
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.3e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.3e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.12318 seconds (Warm-up)
Chain 2: 1.04394 seconds (Sampling)
Chain 2: 2.16712 seconds (Total)
Chain 2:
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.15122 seconds (Warm-up)
Chain 1: 1.38111 seconds (Sampling)
Chain 1: 2.53232 seconds (Total)
Chain 1:
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.11847 seconds (Warm-up)
Chain 3: 1.41133 seconds (Sampling)
Chain 3: 2.5298 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.12676 seconds (Warm-up)
Chain 4: 1.43474 seconds (Sampling)
Chain 4: 2.5615 seconds (Total)
Chain 4: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33407 on localhost:11046 at 10:09:39.616
starting worker pid=33421 on localhost:11046 at 10:09:39.797
starting worker pid=33435 on localhost:11046 at 10:09:39.984
starting worker pid=33449 on localhost:11046 at 10:09:40.165
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.9e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.121904 seconds (Warm-up)
Chain 1: 0.113894 seconds (Sampling)
Chain 1: 0.235798 seconds (Total)
Chain 1:
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4:
Chain 4: Gradient evaluation took 1.8e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.127388 seconds (Warm-up)
Chain 2: 0.145406 seconds (Sampling)
Chain 2: 0.272794 seconds (Total)
Chain 2:
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.121776 seconds (Warm-up)
Chain 3: 0.128221 seconds (Sampling)
Chain 3: 0.249997 seconds (Total)
Chain 3:
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.135003 seconds (Warm-up)
Chain 4: 0.127787 seconds (Sampling)
Chain 4: 0.26279 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33474 on localhost:11046 at 10:09:44.061
starting worker pid=33488 on localhost:11046 at 10:09:44.245
starting worker pid=33503 on localhost:11046 at 10:09:44.433
starting worker pid=33523 on localhost:11046 at 10:09:44.615
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.9e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 2e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.7947 seconds (Warm-up)
Chain 1: 2.189 seconds (Sampling)
Chain 1: 3.9837 seconds (Total)
Chain 1:
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.79444 seconds (Warm-up)
Chain 3: 2.19888 seconds (Sampling)
Chain 3: 3.99332 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.7614 seconds (Warm-up)
Chain 4: 2.20265 seconds (Sampling)
Chain 4: 3.96405 seconds (Total)
Chain 4:
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.83205 seconds (Warm-up)
Chain 2: 2.46346 seconds (Sampling)
Chain 2: 4.29551 seconds (Total)
Chain 2: Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33541 on localhost:11046 at 10:09:56.954
starting worker pid=33555 on localhost:11046 at 10:09:57.133
starting worker pid=33569 on localhost:11046 at 10:09:57.314
starting worker pid=33583 on localhost:11046 at 10:09:57.499
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.4e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 1: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 1: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 1: Iteration: 3000 / 5000 [ 60%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 1: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 2: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 1: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 1: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 2: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 1: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.070783 seconds (Warm-up)
Chain 1: 0.075587 seconds (Sampling)
Chain 1: 0.14637 seconds (Total)
Chain 1:
Chain 2: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 2: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 2: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 2: Iteration: 3500 / 5000 [ 70%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.7e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 2: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 2: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 3: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 2: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 2:
Chain 2: Elapsed Time: 0.067902 seconds (Warm-up)
Chain 2: 0.074773 seconds (Sampling)
Chain 2: 0.142675 seconds (Total)
Chain 2:
Chain 3: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 3: Iteration: 2501 / 5000 [ 50%] (Sampling)
SAMPLING FOR MODEL 'Stan_SOM_demo' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 5000 [ 0%] (Warmup)
Chain 3: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 500 / 5000 [ 10%] (Warmup)
Chain 3: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 1000 / 5000 [ 20%] (Warmup)
Chain 3: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 1500 / 5000 [ 30%] (Warmup)
Chain 3: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 2000 / 5000 [ 40%] (Warmup)
Chain 3: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 0.066743 seconds (Warm-up)
Chain 3: 0.068745 seconds (Sampling)
Chain 3: 0.135488 seconds (Total)
Chain 3:
Chain 4: Iteration: 2500 / 5000 [ 50%] (Warmup)
Chain 4: Iteration: 2501 / 5000 [ 50%] (Sampling)
Chain 4: Iteration: 3000 / 5000 [ 60%] (Sampling)
Chain 4: Iteration: 3500 / 5000 [ 70%] (Sampling)
Chain 4: Iteration: 4000 / 5000 [ 80%] (Sampling)
Chain 4: Iteration: 4500 / 5000 [ 90%] (Sampling)
Chain 4: Iteration: 5000 / 5000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 0.065651 seconds (Warm-up)
Chain 4: 0.066173 seconds (Sampling)
Chain 4: 0.131824 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
package ‘ggplot2’ was built under R version 3.6.2 starting worker pid=33608 on localhost:11046 at 10:10:00.809
starting worker pid=33629 on localhost:11046 at 10:10:01.015
starting worker pid=33643 on localhost:11046 at 10:10:01.196
starting worker pid=33657 on localhost:11046 at 10:10:01.378
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 1.5e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 100000 [ 0%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 1.4e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 10000 / 100000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 3).
Chain 3:
Chain 3: Gradient evaluation took 1.2e-05 seconds
Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
Chain 3: Adjust your expectations accordingly!
Chain 3:
Chain 3:
Chain 3: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 2: Iteration: 10000 / 100000 [ 10%] (Warmup)
SAMPLING FOR MODEL 'Stan_SOM_allPossibilities' NOW (CHAIN 4).
Chain 4:
Chain 4: Gradient evaluation took 1.3e-05 seconds
Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
Chain 4: Adjust your expectations accordingly!
Chain 4:
Chain 4:
Chain 4: Iteration: 1 / 100000 [ 0%] (Warmup)
Chain 1: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 2: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 4: Iteration: 10000 / 100000 [ 10%] (Warmup)
Chain 1: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 2: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 4: Iteration: 20000 / 100000 [ 20%] (Warmup)
Chain 3: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 1: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 2: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 4: Iteration: 30000 / 100000 [ 30%] (Warmup)
Chain 3: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 1: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 1: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 2: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 2: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 4: Iteration: 40000 / 100000 [ 40%] (Warmup)
Chain 3: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 3: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 1: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 2: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 4: Iteration: 50000 / 100000 [ 50%] (Warmup)
Chain 4: Iteration: 50001 / 100000 [ 50%] (Sampling)
Chain 3: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 1: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 2: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 4: Iteration: 60000 / 100000 [ 60%] (Sampling)
Chain 3: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 1: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 2: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 4: Iteration: 70000 / 100000 [ 70%] (Sampling)
Chain 3: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 4: Iteration: 80000 / 100000 [ 80%] (Sampling)
Chain 1: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.13578 seconds (Warm-up)
Chain 1: 1.2204 seconds (Sampling)
Chain 1: 2.35619 seconds (Total)
Chain 1:
Chain 3: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 2: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 1.12354 seconds (Warm-up)
Chain 2: 1.31949 seconds (Sampling)
Chain 2: 2.44304 seconds (Total)
Chain 2:
Chain 4: Iteration: 90000 / 100000 [ 90%] (Sampling)
Chain 3: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 3:
Chain 3: Elapsed Time: 1.06527 seconds (Warm-up)
Chain 3: 1.30118 seconds (Sampling)
Chain 3: 2.36645 seconds (Total)
Chain 3:
Chain 4: Iteration: 100000 / 100000 [100%] (Sampling)
Chain 4:
Chain 4: Elapsed Time: 1.12984 seconds (Warm-up)
Chain 4: 1.31653 seconds (Sampling)
Chain 4: 2.44637 seconds (Total)
Chain 4: Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2
Warning message:
package ‘ggplot2’ was built under R version 3.6.2 [[1]]
[[2]]
[[3]]
[[4]]
[[5]]
[[6]]
[[7]]
[[8]]
[[9]]
[[10]]
[[11]]
[[12]]
[[13]]
[[14]]
[[15]]
[[16]]
[[17]]
[[18]]
[[19]]
[[20]]
[[21]]
[[22]]NA
Mock feed data
I’m using this as a step-wise experiment and only testing the mock feeds with the optimal locus combination:
# make a list of just the four loci
four_locs <- c("mifish", "nsCOIFo", "fishminiA", "cep")
Now loop over those four for the feeds and mock feed pools
# lapply over the four loci for the mock equal pool replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "MEP", n_replicates = 9)
Now loop over those four for the feeds and mock feed pools
# lapply over the replicates for the mock feed pool and the top four loci
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "MFP", n_replicates = 9)
# lapply over the four loci for filler2 and 0% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F2_0", n_replicates = 6)
# lapply over the four loci for filler1 and 0% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F1_0", n_replicates = 6)
# lapply over the four loci for 100% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F1_100", n_replicates = 6)
# lapply over the four loci for filler1 and 2% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F1_2", n_replicates = 6)
# lapply over the four loci for filler1 and 25% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F1_25", n_replicates = 6)
# Workaround for the F1_10% feeds to avoid including the 100% fishmeal replicates as well.
feed10per_feature_df <- features_w_taxonomy %>%
filter(str_detect(sample, "F1_10")) %>%
filter(!str_detect(sample, "F1_100"))
# lapply over the four loci for filler 1 and 10% fishmeal reps
lapply(four_locs, sodm.by.locus, feature_table = feed10per_feature_df, site = "F1_10", n_replicates = 6)
# lapply over the four loci for filler 2 and 25% fishmeal reps
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F2_25", n_replicates = 6)
Overall, the cleanest signal is undoubtedly from the vouchered reference pool. I’m going to need to filter according to the locus-ASV and sample, so I can’t just combine the whole set of .csv files at this stage.
I’ll organize and filter the output files in the next R notebook.
---
title: "Species occupany detection modeling"
output: html_notebook
---

Initial data decontamination using species occupancy detection modeling on a per-sample, per-locus basis. This is based on Ryan Kelly's work/GitHub tutorial.

The input is a table of counts per sample/locus that only includes the ASVs with taxonomic hits in the BLAST database (since we wouldn't be drawing inference from the sequences without taxonomic info).

The input dataframe is `../data/feature_df_no_eDNA_metazoa_only.rds` and is generated in `01-updated-background-Oct-2020.Rmd`.

Mostly, we are interested in the vouchered reference DNA pool, since the full reference DNA pool and experimental feed mixtures almost certainly included contamination from samples obtained from seafood markets.


Most of the action is now wrapped up in a function called `sodm.by.locus` which outputs files to "csv_outputs/" in the current working directory.


```{r load-packages}
# function source
source("../R/metabarcoding-funcs.R")

library(tidyverse)
library(stringi)
library(here)
library(rstan)
library(shinystan)
library(bayesplot)
library(broom)
options(mc.cores = parallel::detectCores())
rstan_options(auto_write = TRUE)
set.seed(108)
setwd(here())
knitr::opts_chunk$set(echo = TRUE)

```



## The model


Two Stan model functions for two steps in this process:

From Ryan Kelly's github page:

## Estimating Posteriors in Stan 

Stan actually does its work in C++, so it has to write out a program to a file (outside of **R**) and compile it to run at a deeper level of your computer's architecture. This takes a little while the first time you compile a given set of Stan code, but only needs to be redone if you change the Stan code.  


```{r}
##Stan Model
modelText <- "data{/////////////////////////////////////////////////////////////////////
    int<lower=1> S;    // number of sites or samples (nrow)
    int<lower=1> K[S];   // number of replicates per site (ncol)
    int<lower=0> N[S]; // detected or not at that site/replicate
    int z[S];   
}
parameters{/////////////////////////////////////////////////////////////////////
    real<lower=0,upper=1> psi;  //commonness parameter
    real<lower=0,upper=1> p11; //true positive detection rate
    real<lower=0,upper=1> p10; //false positive detection rate
}
transformed parameters{/////////////////////////////////////////////////////////////////////
}
model{/////////////////////////////////////////////////////////////////////
  real p[S];
  
    for (i in 1:S){
			z[i] ~ bernoulli(psi);
			p[i] = z[i]*p11 + (1-z[i])*p10;
			N[i] ~ binomial(K[i], p[i]);
	}; 
  
  //priors
  psi ~ beta(5,5); 
  p11 ~ beta(5,5); 
  p10 ~ beta(1,50);
}
generated quantities{
  real<lower=0,upper=1> Occupancy_prob[S];    //after inferring parameters above, now calculate occupancy probability for each observation. Equation from Lahoz-Monfort et al. 2015
  for (i in 1:S){
       Occupancy_prob[i]  = (psi*(p11^N[i])*(1-p11)^(K[i]-N[i])) 
       / ((psi*(p11^N[i])*(1-p11)^(K[i]-N[i])) 
          + (((1-psi)*(p10^N[i]))*((1-p10)^(K[i]-N[i])))
         );
      }
}
"
write.table(modelText, "Stan_SOM_demo.stan", row.names = F, quote = F, col.names = F)
```



And we can then explore the posterior occupancy probability for all possible outcomes of 10 trials, given these parameters:

```{r}
modelText <- "data{/////////////////////////////////////////////////////////////////////
    int<lower=1> S;    // number of sites or samples (nrow)
    int<lower=1> K[S];   // number of replicates per site (ncol)
    int<lower=0> N[S]; // detected or not at that site/replicate
    int z[S];   
}
parameters{/////////////////////////////////////////////////////////////////////
    real<lower=0,upper=1> psi;  //commonness parameter
    real<lower=0,upper=1> p11; //true positive detection rate
    real<lower=0,upper=1> p10; //false positive detection rate
}
transformed parameters{/////////////////////////////////////////////////////////////////////
}
model{/////////////////////////////////////////////////////////////////////
  real p[S];
  
    for (i in 1:S){
			z[i] ~ bernoulli(psi);
			p[i] = z[i]*p11 + (1-z[i])*p10;
			N[i] ~ binomial(K[i], p[i]);
	}; 
  
  //priors
  psi ~ beta(5,5); 
  p11 ~ beta(5,5); 
  p10 ~ beta(1,50);
}
generated quantities{
    real<lower=0,upper=1> Occupancy_prob[11];    //after inferring parameters above, now calculate occupancy probability for each observation. Equation from Lahoz-Monfort et al. 2015
  for (i in 0:10){
       Occupancy_prob[i+1]  = (psi*(p11^i)*(1-p11)^(10-i)) 
       / ((psi*(p11^i)*(1-p11)^(10-i)) 
          + (((1-psi)*(p10^i))*((1-p10)^(10-i)))
         );
      }
}
"
write.table(modelText, "Stan_SOM_allPossibilities.stan", row.names = F, quote = F, col.names = F)

```



## The data

The dataframe that just includes ASVs associated with taxonomy retained
```{r load-data}
features_w_taxonomy <- readRDS("../extdata/downsampled_loci/data/feature_df_no_eDNA_metazoa_only.rds")

```


Cycle over a list of the loci for a given site.

```{r make-locus-list}
# all 22 loci
locs <- features_w_taxonomy %>%
  select(locus) %>%
  unique() %>%
  as.list()

# turn that into a list that could be cycled over
loc_list <- locs$locus

```


Cycle over the loci and generate csv outputs that I can then filter based on occupancy probabilties.
```{r vouchered-reference-reps}
# lapply over the list of 22 loci 
# the site, dataframe, and number of replicates are consistent for now
lapply(loc_list, sodm.by.locus, feature_table = features_w_taxonomy, site = "VRP", n_replicates = 9)

```

```{r}
loc_list
```


Because we only really could control for false positives (to some degree) in the vouchered reference pool, my expectation is that those samples will have greater separation between true and false positives, and thus, perform better using this framework.



## testing the number of iterations:

I have always seen an output error message from this analysis that says:
Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See http://mc-stan.org/misc/warnings.html#tail-ess

Although I bumped up the number of iterations from 5K to 10K, I never fully investigated if I could get the warning message to go away with a sufficient number of iterations.

Before I move forward with these data, let's see if 50K or 100K improves the estimate or if it is a sample size problem that I'm not going to be able to overcome by more iterations.

Based on testing a few different iteration options, I'm sticking with 100k.

Given the uncertainty of the tail probabilities, it seems best to take that into consideration when removing ASVs as putative false positives.

So, if the occupancy estimate + the error is <80%, I will say that is sufficient evidence to remove that ASV.



## Running the SODM with full reference pool samples

Full reference pool - all 22 loci
```{r full-reference-reps}
# lapply over the list of 22 loci
lapply(loc_list, sodm.by.locus, feature_table = features_w_taxonomy, site = "FRP", n_replicates = 9)

```



## Mock feed data

I'm using this as a step-wise experiment and only testing the mock feeds with the optimal locus combination:

```{r top-four-loci}
# make a list of just the four loci
four_locs <- c("mifish", "nsCOIFo", "fishminiA", "cep")

```

Now loop over those four for the feeds and mock feed pools
```{r mock-equal-pool-four-loci}
# lapply over the four loci for the mock equal pool replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "MEP", n_replicates = 9)

```


Now loop over those four for the feeds and mock feed pools
```{r mock-feed-pool-four-loci}
# lapply over the replicates for the mock feed pool and the top four loci
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "MFP", n_replicates = 9)

```


```{r 0%-fishmeal-filler2}
# lapply over the four loci for filler2 and 0% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F2_0", n_replicates = 6)

```


```{r 0%-fishmeal-filler1}
# lapply over the four loci for filler1 and 0% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F1_0", n_replicates = 6)

```


```{r 100%-fishmeal-no-filler}
# lapply over the four loci for 100% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F1_100", n_replicates = 6)

```


```{r 2%-fishmeal-filler1}
# lapply over the four loci for filler1 and 2% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F1_2", n_replicates = 6)

```


```{r 25%-fishmeal-filler1}
# lapply over the four loci for filler1 and 25% fishmeal replicates
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F1_25", n_replicates = 6)

```


```{r 10%-fishmeal-filler1}
# Workaround for the F1_10% feeds to avoid including the 100% fishmeal replicates as well.
feed10per_feature_df <- features_w_taxonomy %>%
  filter(str_detect(sample, "F1_10")) %>%
  filter(!str_detect(sample, "F1_100")) 

# lapply over the four loci for filler 1 and 10% fishmeal reps
lapply(four_locs, sodm.by.locus, feature_table = feed10per_feature_df, site = "F1_10", n_replicates = 6)

```


```{r 25%-fishmeal-filler2}
# lapply over the four loci for filler 2 and 25% fishmeal reps
lapply(four_locs, sodm.by.locus, feature_table = features_w_taxonomy, site = "F2_25", n_replicates = 6)

```

Overall, the cleanest signal is undoubtedly from the vouchered reference pool.
I'm going to need to filter according to the locus-ASV and sample, so I can't just combine the whole set of .csv files at this stage.

I'll organize and filter the output files in the next R notebook.

